{"id":"https://openalex.org/W4386432034","doi":"https://doi.org/10.1109/tcss.2023.3306909","title":"Knowledge-Associated Embedding for Memory-Aware Knowledge Tracing","display_name":"Knowledge-Associated Embedding for Memory-Aware Knowledge Tracing","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4386432034","doi":"https://doi.org/10.1109/tcss.2023.3306909"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2023.3306909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2023.3306909","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100376734","display_name":"Jiawei Li","orcid":"https://orcid.org/0000-0002-4018-0830"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Li","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4018-0830","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054687122","display_name":"Yuanfei Deng","orcid":"https://orcid.org/0000-0003-3912-6383"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanfei Deng","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3912-6383","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006169810","display_name":"Shun Mao","orcid":"https://orcid.org/0000-0001-6625-2348"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Mao","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6625-2348","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019724351","display_name":"Yixiu Qin","orcid":"https://orcid.org/0000-0002-8306-4194"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixiu Qin","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8306-4194","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015727828","display_name":"Yuncheng Jiang","orcid":"https://orcid.org/0000-0002-4294-454X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuncheng Jiang","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China","School of Artificial Intelligence, South China Normal University, Foshan, China"],"raw_orcid":"https://orcid.org/0000-0002-4294-454X","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"School of Artificial Intelligence, South China Normal University, Foshan, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":1.7926,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8772242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":"3","first_page":"4016","last_page":"4028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.8395708799362183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7726950645446777},{"id":"https://openalex.org/keywords/optimal-distinctiveness-theory","display_name":"Optimal distinctiveness theory","score":0.683103084564209},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5337821841239929},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.522853672504425},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4996638298034668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4840671122074127},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.480618417263031},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4502774775028229},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.44948750734329224},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4461379051208496},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4274737238883972},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.10866990685462952},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09961670637130737}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.8395708799362183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7726950645446777},{"id":"https://openalex.org/C47385372","wikidata":"https://www.wikidata.org/wiki/Q7098943","display_name":"Optimal distinctiveness theory","level":2,"score":0.683103084564209},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5337821841239929},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.522853672504425},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4996638298034668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4840671122074127},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.480618417263031},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4502774775028229},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.44948750734329224},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4461379051208496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4274737238883972},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.10866990685462952},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09961670637130737},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2023.3306909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2023.3306909","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G2202315836","display_name":null,"funder_award_id":"U1911201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4171216190","display_name":null,"funder_award_id":"61772210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2015040676","https://openalex.org/W2051963836","https://openalex.org/W2064675550","https://openalex.org/W2187089797","https://openalex.org/W2345282486","https://openalex.org/W2559094423","https://openalex.org/W2603824136","https://openalex.org/W2788574423","https://openalex.org/W2890071599","https://openalex.org/W2893462852","https://openalex.org/W2904980900","https://openalex.org/W2907913484","https://openalex.org/W2913933519","https://openalex.org/W2953577593","https://openalex.org/W2955931418","https://openalex.org/W2966684417","https://openalex.org/W2982508882","https://openalex.org/W3004507689","https://openalex.org/W3034374044","https://openalex.org/W3034854756","https://openalex.org/W3035147733","https://openalex.org/W3035442578","https://openalex.org/W3040358113","https://openalex.org/W3041350035","https://openalex.org/W3043869244","https://openalex.org/W3082341085","https://openalex.org/W3087232239","https://openalex.org/W3093002101","https://openalex.org/W3099615175","https://openalex.org/W3102281445","https://openalex.org/W3103513278","https://openalex.org/W3116287258","https://openalex.org/W3117062170","https://openalex.org/W3127790743","https://openalex.org/W3128513560","https://openalex.org/W3132748888","https://openalex.org/W3134371412","https://openalex.org/W3141866323","https://openalex.org/W3143756750","https://openalex.org/W3154349795","https://openalex.org/W3171435422","https://openalex.org/W3176382883","https://openalex.org/W3197400233","https://openalex.org/W3209236561","https://openalex.org/W3212436340","https://openalex.org/W3212669276","https://openalex.org/W3217610966","https://openalex.org/W4213053224","https://openalex.org/W4213377845","https://openalex.org/W4221026130","https://openalex.org/W4224316526","https://openalex.org/W4225394161","https://openalex.org/W4226152263","https://openalex.org/W4226277040","https://openalex.org/W4282937133","https://openalex.org/W4382318135","https://openalex.org/W6631190155","https://openalex.org/W6765830420","https://openalex.org/W6769504407","https://openalex.org/W6803899392","https://openalex.org/W6849504331"],"related_works":["https://openalex.org/W4225552138","https://openalex.org/W2032875729","https://openalex.org/W3046185751","https://openalex.org/W2475308993","https://openalex.org/W4292070284","https://openalex.org/W4312933959","https://openalex.org/W4391009500","https://openalex.org/W4229080059","https://openalex.org/W4286257253","https://openalex.org/W2916853871"],"abstract_inverted_index":{"Knowledge":[0],"tracing":[1],"(KT)":[2],"refers":[3],"to":[4,12,61,97,117,147,163],"predicting":[5],"learners\u2019":[6,165],"performance":[7],"in":[8,50,126,143],"the":[9,24,32,45,51,74,99,104,119,124,149,153,184,190],"future":[10],"according":[11],"their":[13],"historical":[14],"learning":[15,58],"interactions,":[16],"which":[17,188],"has":[18],"become":[19],"an":[20],"essential":[21],"task":[22],"for":[23,73,133],"computer-aided":[25],"education":[26],"(CAE)":[27],"system.":[28],"Recent":[29],"studies":[30],"alleviate":[31],"data":[33],"sparsity":[34],"problem":[35],"by":[36],"mining":[37],"higher-order":[38],"information":[39],"between":[40],"questions":[41],"and":[42,56,109],"skills.":[43],"However,":[44],"effect":[46],"of":[47,101,106,123,152,192],"multiple":[48],"skills":[49],"question":[52],"is":[53,95,145],"not":[54],"distinguished,":[55],"various":[57],"behaviors":[59],"need":[60],"be":[62],"better":[63,182],"modeled.":[64],"In":[65],"this":[66],"article,":[67],"we":[68,80,128,157],"propose":[69],"a":[70,83,130,159],"knowledge-associated":[71,91],"embedding":[72,92],"memory-aware":[75,131],"KT":[76],"(KMKT)":[77],"framework.":[78],"Specifically,":[79],"first":[81],"construct":[82],"question-skill":[84],"bipartite":[85],"graph":[86],"with":[87],"attribute":[88],"features.":[89],"A":[90,139],"(KAE)":[93],"module":[94,132],"proposed":[96,146],"capture":[98],"distinctiveness":[100],"multiskills":[102],"via":[103],"process":[105],"knowledge":[107,110],"propagation":[108],"aggregation":[111],"based":[112],"on":[113,172],"predefined":[114],"knowledge-paths.":[115],"Then,":[116],"simulate":[118],"memory":[120,136],"recall":[121],"phenomenon":[122],"learners":[125],"KT,":[127],"design":[129],"long":[134],"short-term":[135],"(MA-LSTM)":[137],"networks.":[138],"temporal":[140],"attention":[141],"layer":[142,162],"MA-LSTM":[144],"learn":[148],"forgetting":[150],"mechanism":[151],"human":[154],"brain.":[155],"Finally,":[156],"introduce":[158],"learning-gain":[160],"(LG)":[161],"obtain":[164],"benefits":[166],"after":[167],"each":[168],"exercise.":[169],"Extensive":[170],"experiments":[171],"four":[173],"real-world":[174],"datasets":[175],"illustrate":[176],"that":[177],"our":[178,193],"KMKT":[179],"model":[180],"performs":[181],"than":[183],"other":[185],"baseline":[186],"models,":[187],"verifies":[189],"effectiveness":[191],"work.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}